👉 3 Tools to Track and Visualize the Execution of Your Python Code: kdnuggets.com/2021/12/3-tool…

#Python #VisualizationTools #DataScience
1.Loguru:Loguru is a library that aims to make logging in Python enjoyable. Loguru provides many interesting functionalities, but one functionality that is the most helpful is the ability to catch unexpected errors and display which value of a variable causes your code to fail.
2. snoop: snoop is a Python package that prints the lines of code being executed along with the values of each variable by adding only one decorator.
3. heartrate: If you want to visualize which lines are executed and how many times they are executed, try heartrate.

heartrate is also created by the creator of snoop.

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7 Sep 21
💡 A comprehensive roadmap to data infrastructure: bvp.com/atlas/roadmap-…

#DataInfrastructure #Roadmap #DataScience
1. Growth in adoption of cloud software: As companies in all industries and sizes adopt various cloud-based software to run their businesses, they have had to deal with data sprawl across a number of different sources and systems.
2. Increase in the volume of accessible data: Movement to the cloud and the growth of software users around the world has also generated more data at an exponential rate.
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